About this Research Topic
Current memory models and frameworks differ in their conceptualization of how information is represented in memory. Some approaches posit specialized stores for information represented over the short versus the long-term, whereas other approaches differentiate short-term and long-term memory representations via their accessibility, based on distinct activation levels, or states, rather than specialized stores. Some accounts further acknowledge a third representational state, namely the focus of attention, a privileged state that is more accessible than short-term or long-term memory representations. Recent advances in neuroscience have provided novel and complementary ways to study the interactions and dissociations across the hypothesized representational states, and might have the potential of reconciling some of the key research problems.
This research topic aims to provide a collection of the most recent, cutting edge research trends, in an effort to move towards an integrative perspective on some of the key debates that we have been struggling with in this area for decades. To this end, original research articles, opinions and commentaries, reviews, as well as articles highlighting recent methodological advances are welcome. The scope of the contributions may include, but are not limited to a) neuroimaging studies employing univariate and multivariate analyses to reveal the underlying neural mechanisms supporting the interactions and/or dissociations between hypothesized representational states or memory systems; b) patient studies that target the specific contribution of a brain region and/or dissociate the roles of specific regions; c) studies that investigate representational states in memory from an individual differences perspective; d) new methodological advances that might provide novel approaches to study and understand the overlap and distinctions across the hypothesized representational states in memory. Reviews, commentaries, as well as articles proposing new frameworks or computational memory models that incorporate and integrate the most recent behavioral and neural findings are also welcome.
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